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An adapted European LeukemiaNet genetic risk stratification for acute myeloid leukemia patients undergoing allogeneic hematopoietic cell transplant. A CIBMTR analysis
Antonio Jiménez, Marcos de Lima, Krishna V. Komanduri, Trent Wang, Mei-Jie Zhang, Karen Chen, Hisham Abdel‐Azim, Muhammad Bilal Abid, Mahmoud Aljurf, Hassan B. Alkhateeb, Amer Assal, Ulrike Bacher, Frédéric Baron, Minoo Battiwalla, Amer Beitinjaneh, Nelli Bejanyan, Vijaya Raj Bhatt, Michael Byrne, Jean‐Yves Cahn, Mitchell S. Cairo, Paul Castillo, Edward A. Copelan, Zachariah DeFilipp, Miguel Ángel Díaz, Mahmoud Elsawy, Robert Peter Gale, Biju George, Michael R. Grunwald, Gerhard Hildebrandt, William J. Hogan, Christopher G. Kanakry, Ankit Kansagra, Mohamed A. Kharfan‐Dabaja, Nandita Khera, Maxwell M. Krem, Aleksandr Lazaryan, Joseph Maakaron, Rodrigo Martino, Joseph P. McGuirk, Fotios V. Michelis, Giuseppe Milone, Asmita Mishra, Hemant S. Murthy, Alberto Mussetti, Sunita Nathan, Taiga Nishihori, Richard F. Olsson, Neil Palmisiano, Sagar S. Patel, Ayman Saad, Sachiko Seo, Akshay Sharma, Melhem Solh, Leo F. Verdonck, Baldeep Wirk, Jean A. Yared, Mark R. Litzow, Partow Kebriaei, Christopher S. Hourigan, Wael Saber, Daniel J. Weisdorf
Bibliographic record
VenueBone Marrow Transplantation · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreDalhousie University
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteNational Heart, Lung, and Blood InstituteFred and Pamela Buffett Cancer CenterMarkey Cancer Center, University of KentuckyJuno TherapeuticsOffice of Naval ResearchIrving Medical Center, Columbia UniversitySanofi GenzymeLegend BiotechU.S. NavyUniversity of Florida HealthKite PharmaHealth Resources and Services AdministrationNational Institutes of HealthUniversity of Nebraska Medical CenterChristian Medical College, VelloreBiomedical Advanced Research and Development AuthorityUniversity of MiamiKing Faisal Specialist Hospital and Research CentreAstellas PharmaDaiichi-SankyoGilead SciencesDalhousie UniversityImperial College LondonCardinal HealthInselspital, Universitätsspital BernKiadis PharmaPharmacyclicsAlexion Pharmaceuticalsbluebird bioDaiichi Sankyo EuropeTakeda OncologyAgios PharmaceuticalsAngiocrine BioscienceUniversité Grenoble AlpesJazz PharmaceuticalsOmeros CorporationVertex PharmaceuticalsLeonard M. Miller School of MedicineUniversity of BernU.S. Department of DefenseMedical College of WisconsinStemCyteMassachusetts General HospitalCareDxBeiGeneVanderbilt University Medical CenterActinium PharmaceuticalsUniversity of Texas Southwestern Medical CenterCSL BehringChildren's Hospital Los AngelesCelgeneFalk FoundationMoffitt Cancer CenterSanofiIncytePfizerBristol-Myers SquibbGenentechAstraZenecaUniversity of Southern CaliforniaAstellas Pharma USBe The Match FoundationNovartis Pharmaceuticals CorporationAmgenVanderbilt University
KeywordsMedicineInternal medicineUnivariate analysisTransplantationOncologyMyeloid leukemiaMultivariate analysisHematopoietic stem cell transplantationSurgery
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.013
GPT teacher head0.262
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations26
Published2021
Admission routes2
Has abstractno